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首页> 外文期刊>Journal of chemical theory and computation: JCTC >Reproducing the Ensemble Average Polar Solvation Energy of a Protein from a Single Structure: Gaussian-Based Smooth Dielectric Function for Macromolecular Modeling
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Reproducing the Ensemble Average Polar Solvation Energy of a Protein from a Single Structure: Gaussian-Based Smooth Dielectric Function for Macromolecular Modeling

机译:从单一结构中再现蛋白质的集合平均溶剂化能量:基于高斯的大分子建模的平滑介质函数

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Typically, the ensemble average polar component of solvation energy (Delta G(polar)(solv)) of a macromolecule is computed using molecular dynamics (MD) or Monte Carlo (MC) simulations to generate conformational ensemble and then single/rigid conformation solvation energy calculation is performed on each snapshot. The primary objective of this work is to demonstrate that Poisson Boltzmann (PB)-based approach using a Gaussian-based smooth dielectric function for macromolecular modeling previously developed by us (Li et al. J. Chem. Theory Comput. 2013, 9 (4), 2126-2136) can reproduce that ensemble average (Delta G(polar)(solv)) of a protein from that the Gaussian-based dielectric model reproduces the ensemble average Delta G(polar)(solv) (Delta G(polar)(solv)) from an energy-minimized structure of a protein regardless of the minimization environment (structure minimized in vacuo, implicit or explicit waters, or crystal structure); the best case, however, is when it is paired with an in vacuo-minimized structure. In other minimization environments (implicit or explicit waters or crystal structure), the traditional two-dielectric model can still be selected with which the model produces correct solvation energies. Our observations from this work reflect how the ability to appropriately mimic the motion of residues, especially the salt bridge residues, influences a dielectric model's ability to reproduce the ensemble average value of polar solvation free energy from a single in vacuo-minimized structure.
机译:通常,使用分子动力学(MD)或蒙特卡罗(MC)模拟来计算溶剂化能量(Delta g(极性)(Solv))的集合平均极性分量,以产生构象集合,然后是单/刚性构象溶剂化能量在每个快照上执行计算。这项工作的主要目的是展示使用基于高斯的光滑介质功能的Poisson Boltzmann(PB),用于预先由US开发的大分子模型(Li等人J.Chem.理论计算。2013,9(4 )2126-2136)可以再现蛋白质的集合平均值(ΔG(极性)(Solv))从高斯基介电模型再现集合平均ΔG(极性)(SOLV)(& delta g(极性)(SOLV)&)无论最小化环境如何然而,最佳情况是当它与真空最小化结构配对时。在其他最小化环境(隐式或显式水域或晶体结构)中,仍然可以选择传统的两介电模型,模型产生正确的溶剂化能量。我们从这项工作的观察反映了适当模仿残留物,特别是盐桥残留物的运动的能力如何影响介电模型从单个真空最小化结构中再现极性溶剂化自由能的集合平均值的能力。

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